RESEARCHER PROFILE

Kerstin Denecke

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K

Bern University of Applied Sciences

Mobile Health and mHealth ApplicationsArtificial Intelligence in Healthcare and EducationElectronic Health Records SystemsBiomedical Text Mining and OntologiesDigital Mental Health Interventions

Kerstin Denecke works in Mobile Health and mHealth Applications, Artificial Intelligence in Healthcare and Education, Electronic Health Records Systems, Biomedical Text Mining and Ontologies, Digital Mental Health Interventions. Recorded institutional associations include Bern University of Applied Sciences.

360Publications
4,956Citations
31H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Using SentiWordNet for multilingual sentiment analysis

    2008 · 359 citations

  2. Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review

    2020 · 300 citations

  3. Social Media and Internet‐Based Data in Global Systems for Public Health Surveillance: A Systematic Review

    2014 · 256 citations

  4. Sentiment analysis in medical settings: New opportunities and challenges

    2015 · 254 citations

  5. A Mental Health Chatbot for Regulating Emotions (SERMO) - Concept and Usability Test

    2020 · 237 citations

  6. Ethical Issues of Social Media Usage in Healthcare

    2015 · 196 citations

  7. How valuable is medical social media data? Content analysis of the medical web

    2009 · 194 citations

  8. Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges

    2021 · 172 citations

  9. Technical Metrics Used to Evaluate Health Care Chatbots: Scoping Review

    2020 · 148 citations

  10. Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

    2022 · 107 citations

  11. Potential of Large Language Models in Health Care: Delphi Study

    2024 · 107 citations

  12. Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review

    2021 · 105 citations

  13. A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems

    2022 · 95 citations

  14. A scoping review of large language model based approaches for information extraction from radiology reports

    2024 · 95 citations

  15. Security, privacy, and healthcare-related conversational agents: a scoping review

    2021 · 90 citations

  16. Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks

    2024 · 82 citations

  17. Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa

    2015 · 81 citations

  18. Sentiment analysis of clinical narratives: A scoping review

    2023 · 78 citations

  19. Are SentiWordNet scores suited for multi-domain sentiment classification?

    2009 · 75 citations

  20. How to Exploit Twitter for Public Health Monitoring?

    2013 · 70 citations

  21. What Do We Know About the Use of Chatbots for Public Health?

    2020 · 49 citations

  22. Self-Anamnesis with a Conversational User Interface: Concept and Usability Study

    2018 · 47 citations

  23. Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications

    2019 · 46 citations

  24. Designing personalised mHealth solutions: An overview

    2023 · 46 citations

  25. Assessing the Potential and Risks of AI-Based Tools in Higher Education: Results from an eSurvey and SWOT Analysis

    2023 · 43 citations

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